A novel multi-objective optimization framework for urban green-gray infrastructure implementation under impacts of...

Area of Science:

• Environmental Engineering
• Urban Planning
• Water Resource Management

Background:

• Urban flooding poses significant economic and property risks.
• Sponge city construction is crucial for mitigating urban floods.
• Integrating green infrastructure (GI) and gray drainage facilities (GDF) presents challenges.

Purpose of the Study:

• To propose a novel framework for synchronized optimization of GI and GDF (G-GSOIF).
• To evaluate the effectiveness of this integrated approach in stormwater management.
• To support decision-making for sponge city construction.

Main Methods:

• Developed a GI and GDF synchronization optimization implementation framework (G-GSOIF).
• Utilized the SWMM and SUSTAIN models for analysis.
• Applied the framework to data from Beilin District, Xi'an, China.

Main Results:

• Spatiotemporal integrated optimization of GI and GDF proved effective for stormwater management.
• Reduced total investment by 16.7% and increased economic benefit by 15.4%.
• Achieved over 40% rainwater resource utilization rate.

Conclusions:

• The G-GSOIF framework effectively manages stormwater and enhances sponge city resilience.
• The staged optimization model (SSOM) adapts designs for future climate change impacts.
• Integrated low-impact development (I-LID) measures are efficient for large catchment areas.